Yixing Fan

Orcid: 0000-0003-4317-2702

According to our database1, Yixing Fan authored at least 68 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Are Large Language Models Good at Utility Judgments?
CoRR, 2024

CorpusBrain++: A Continual Generative Pre-Training Framework for Knowledge-Intensive Language Tasks.
CoRR, 2024

RIGHT: Retrieval-Augmented Generation for Mainstream Hashtag Recommendation.
Proceedings of the Advances in Information Retrieval, 2024

2023
PRADA: Practical Black-box Adversarial Attacks against Neural Ranking Models.
ACM Trans. Inf. Syst., October, 2023

Are Neural Ranking Models Robust?
ACM Trans. Inf. Syst., April, 2023

CAME: Competitively Learning a Mixture-of-Experts Model for First-stage Retrieval.
CoRR, 2023

L^2R: Lifelong Learning for First-stage Retrieval with Backward-Compatible Representations.
CoRR, 2023

Topic-oriented Adversarial Attacks against Black-box Neural Ranking Models.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

A Unified Generative Retriever for Knowledge-Intensive Language Tasks via Prompt Learning.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

From Relevance to Utility: Evidence Retrieval with Feedback for Fact Verification.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Prompt Tuning with Contradictory Intentions for Sarcasm Recognition.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Pre-training with Aspect-Content Text Mutual Prediction for Multi-Aspect Dense Retrieval.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Black-box Adversarial Attacks against Dense Retrieval Models: A Multi-view Contrastive Learning Method.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Continual Learning for Generative Retrieval over Dynamic Corpora.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

L2R: Lifelong Learning for First-stage Retrieval with Backward-Compatible Representations.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
A Review on Question Generation from Natural Language Text.
ACM Trans. Inf. Syst., 2022

Semantic Models for the First-Stage Retrieval: A Comprehensive Review.
ACM Trans. Inf. Syst., 2022

Pre-training Methods in Information Retrieval.
Found. Trends Inf. Retr., 2022

Visual Named Entity Linking: A New Dataset and A Baseline.
CoRR, 2022

A Contrastive Pre-training Approach to Learn Discriminative Autoencoder for Dense Retrieval.
CoRR, 2022

Pre-train a Discriminative Text Encoder for Dense Retrieval via Contrastive Span Prediction.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

GERE: Generative Evidence Retrieval for Fact Verification.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

MGAD: Learning Descriptional Representation Distilled from Distributional Semantics for Unseen Entities.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Visual Named Entity Linking: A New Dataset and A Baseline.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

A Re-Balancing Strategy for Class-Imbalanced Classification Based on Instance Difficulty.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Certified Robustness to Word Substitution Ranking Attack for Neural Ranking Models.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

A Contrastive Pre-training Approach to Discriminative Autoencoder for Dense Retrieval.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Scattered or Connected? An Optimized Parameter-efficient Tuning Approach for Information Retrieval.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Discriminative Language Model via Self-Teaching for Dense Retrieval.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

CorpusBrain: Pre-train a Generative Retrieval Model for Knowledge-Intensive Language Tasks.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Hard Negatives or False Negatives: Correcting Pooling Bias in Training Neural Ranking Models.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Beyond Precision: A Study on Recall of Initial Retrieval with Neural Representations.
Proceedings of the Information Retrieval - 28th China Conference, 2022

2021
Pre-training Methods in Information Retrieval.
CoRR, 2021

A Linguistic Study on Relevance Modeling in Information Retrieval.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Beyond Relevance: Trustworthy Answer Selection via Consensus Verification.
Proceedings of the WSDM '21, 2021

PROP: Pre-training with Representative Words Prediction for Ad-hoc Retrieval.
Proceedings of the WSDM '21, 2021

B-PROP: Bootstrapped Pre-training with Representative Words Prediction for Ad-hoc Retrieval.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

A Discriminative Semantic Ranker for Question Retrieval.
Proceedings of the ICTIR '21: The 2021 ACM SIGIR International Conference on the Theory of Information Retrieval, 2021

FedMatch: Federated Learning Over Heterogeneous Question Answering Data.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Learning to Truncate Ranked Lists for Information Retrieval.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Dual-factor Generation Model for Conversation.
ACM Trans. Inf. Syst., 2020

A Deep Look into neural ranking models for information retrieval.
Inf. Process. Manag., 2020

Match<sup>2</sup>: A Matching over Matching Model for Similar Question Identification.
CoRR, 2020

Label Distribution Augmented Maximum Likelihood Estimation for Reading Comprehension.
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Match²: A Matching over Matching Model for Similar Question Identification.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Query Understanding via Intent Description Generation.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Continual Domain Adaptation for Machine Reading Comprehension.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Bidirectional Dependency-Guided Attention for Relation Extraction.
Proceedings of The 12th Asian Conference on Machine Learning, 2020

Structure Learning for Headline Generation.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Trend-Smooth: Accelerate Asynchronous SGD by Smoothing Parameters Using Parameter Trends.
IEEE Access, 2019

DAPA: The WSDM 2019 Workshop on Deep Matching in Practical Applications.
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

Outline Generation: Understanding the Inherent Content Structure of Documents.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Controlling Risk of Web Question Answering.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

MatchZoo: A Learning, Practicing, and Developing System for Neural Text Matching.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Multi-graph Convolution Network with Jump Connection for Event Detection.
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

Understanding and Improving Neural Ranking Models from a Term Dependence View.
Proceedings of the Information Retrieval Technology, 2019

An Adaptive Framework for Conversational Question Answering.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Beyond Precision: A Study on Recall of Initial Retrieval with Neural Representations.
CoRR, 2018

Modeling Diverse Relevance Patterns in Ad-hoc Retrieval.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Question Headline Generation for News Articles.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

A Deep Top-K Relevance Matching Model for Ad-hoc Retrieval.
Proceedings of the Information Retrieval - 24th China Conference, 2018

A Comparison Between Term-Based and Embedding-Based Methods for Initial Retrieval.
Proceedings of the Information Retrieval - 24th China Conference, 2018

Learning to Control the Specificity in Neural Response Generation.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017
MatchZoo: A Toolkit for Deep Text Matching.
CoRR, 2017

Learning Visual Features from Snapshots for Web Search.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Academic Access Data Analysis for Literature Recommendation.
Proceedings of the Information Retrieval - 23rd China conference, 2017

2016
Semantic Matching by Non-Linear Word Transportation for Information Retrieval.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

A Deep Relevance Matching Model for Ad-hoc Retrieval.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016


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